Kyle Miller

Noise-Tolerant Interactive Learning from Pairwise Comparisons

2017 · arXiv (Cornell University)

We study the problem of interactively learning a binary classifier using noisy labeling and pairwise comparison oracles, where the comparison oracle answers which one in the given two instances is more likely to be positive. …